Evidence map›Paper›PMID 24816653›Full record

ArticleJournal of molecular neuroscience : MN2014

Mutational screening of NOTCH3 gene reveals two novel mutations: complexity of CADASIL diagnosis.

Lorena Mosca, Francesca Rivieri, Raffaella Tanel, Aldo Bonfante, Alessandro Burlina, Emanuela Manfredini, Paola Primignani, Giovanni P Gesu, Alessandro Marocchi, Silvana Penco

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Article in Journal of molecular neuroscience : MN, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 34% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 3 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 3 institutions in 1 country.

Lorena MoscaDepartment of Laboratory Medicine, Medical Genetics Unit, Niguarda Ca' Granda Hospital, Milan, Italy.
Francesca Rivieri
Raffaella Tanel
Aldo Bonfante
Alessandro Burlina
Emanuela Manfredini
Paola Primignani
Giovanni P Gesu
Alessandro Marocchi
Silvana Penco
Azienda Socio Sanitaria Territoriale Grande Ospedale Metropolitano Niguarda · ITOspedale San Bassiano · ITOspedale Santa Chiara · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL) is an adult onset hereditary vascular disease with neurological manifestations. The classical clinical course is relentlessly progressive with early transient ischaemic attacks (TIA) or strokes, dementia and finally death in the mid-1960s. The disorder is inherited in an autosomal dominant fashion, with high penetrance and broad variable clinical course even within family. It is caused by mutations in the NOTCH3 gene; all causative mutations result in gain or loss of a cysteine residue within the extracellular domain, with exons 3 and 4 reported as hot spot mutational sites. Mutation analysis of the NOTCH3 gene was performed through direct sequencing of the 2-23 exons containing all EGF-like domains. Patients underwent genetic counselling pre and post testing. Here, we report two novel mutations located in exons 6 and 15 of the NOTCH3 gene; clinical description for the probands and for available relatives is enclosed. No reliable data on incidence or prevalence rates of this disease are available: it is therefore essential that the diagnosis is obtained in all suspected cases through the extensive analysis of the NOTCH3 gene and that all cases are brought to the attention of the scientific community.

Indexed as

MutationAgedCADASILExonsFemaleHumansMaleMiddle AgedPedigreePhenotypeReceptor, Notch3Receptors, NotchNOTCH3 protein, humanReceptor, Notch3Receptors, Notch

Identifiers

PMID24816653
OpenAlexW2005456342

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.